maze-dataset 0.3.6

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Maze Dataset

Generation, solving and processing of various mazes. Primarily build for the maze-transformer project, which this repo is an offshoot of.

Installation

pip install maze-dataset

You can run all tests via

make test

(this will take a few minutes)

Usage

Most of the functionality is demonstrated in the ipython notebooks in the notebooks/ folder.

• demo_dataset.ipynb how to easily create a dataset of mazes, utilities for filtering the generates mazes via properties, and basic visualization
• demo_latticemaze.ipynb internals of the LatticeMaze and SolvedMaze objects, and advanced visualization

Development

Prerequisites

• Install Poetry

• Install Python 3.10

  • It's a good idea to use pyenv to manage python versions
  • If using pyenv, you'll need to update your Poetry config for it to use the pyenv Python version: poetry config virtualenvs.prefer-active-python true

• Install dev dependencies

  poetry config virtualenvs.in-project true
  poetry install --with dev
  

• Run unit, integration, and notebook tests

  make test
  

• (Optional) If you want to work with the jupyter notebooks in VSCode

  • create a jupyter kernel with poetry run ipython kernel install --user --name=maze-dataset
  • Restart VSCode
  • In VSCode, select the python interpreter located in maze-dataset/.venv/bin as your juptyer kernel

Testing & Static analysis

make help will print all available commands.

• all tests via make test

  • unit tests via make unit
  • notebook tests via make test_notebooks

• formatter (black, pycln, and isort) via make format

  • formatter in check-only mode via make check-format